Singapore
Onsite
Key Responsibilities
Design, implement, and automate DevOps and Cloud architectures, creating efficient CI/CD pipelines and improving software delivery processes.
Automate build, deployment, and infrastructure provisioning using modern DevSecOps best practices and cloud-native tooling.
Implement microservices and container-based architectures using platforms such as Docker and Kubernetes.
Conduct technical workshops with customers, diagnose operational issues, and design automated solutions to improve availability, performance, and reliability.
Collaborate with development, QA, security, and operations teams to ensure application functionality, performance, and security needs are met.
Lead deployment processes, including blue-green deployments, failover design, and backup architectures.
Implement observability solutions for infrastructure and applications, including monitoring, logging, and alerting.
Audit customer environments, conduct gap analyses, and develop remediation plans using automation and modern DevOps tools.
Provide guidance on FinOps practices to optimize cloud resource utilization and costs.
Contribute to cloud transformation as part of the customer’s Cloud Center of Excellence (CCoE), working closely with the customer onsite.
Support continuous improvement by exploring emerging technologies, including Data, AI, and new DevSecOps methodologies.
Monitor cloud system health, performance, and uptime across multi-cloud environments.
Apply security and compliance standards throughout DevOps workflows.
Build strong customer relationships and serve as a trusted technical advisor throughout project delivery.
Skills/Experience:
Required Experience
5+ years managing virtualized platforms and cloud infrastructure operations.
3–4 years of hands-on Public Cloud deployment and management (AWS, Azure, GCP).
Strong background in application integration, cloud services (compute, network, storage, security), and DevOps best practices.
Expertise in Infrastructure as Code (Terraform, CloudFormation, ARM, Deployment Manager).
Experience hosting applications on public cloud and performing cloud capacity sizing and cost optimization.
Solid understanding of CI/CD, version control, and automation tools.
Knowledge of microservices, application deployment patterns, and cloud-native architectures.
Strong troubleshooting skills with experience supporting business applications and cloud workloads.
Ability to identify pipeline bottlenecks, optimize delivery workflows, and support large-scale cloud projects.
Technical Skills
Advanced proficiency in AWS/Azure/GCP services: networking, compute, storage, containers, serverless, databases, analytics, and autoscaling.
Expert knowledge of configuration management tools (Ansible, Chef, Puppet).
Strong scripting experience (Python, Bash, PowerShell, Perl).
Hands-on experience with Kubernetes, EKS, AKS, GKE, Docker, and virtualization platforms.
Proficient in CI/CD tools such as Jenkins, GitLab, GitHub Actions, Bamboo, CircleCI, Argo CD, AWS CodePipeline, Azure DevOps.
Experience with monitoring and observability platforms: AppDynamics, Dynatrace, Datadog, Prometheus, Grafana, New Relic.
Familiarity with security and quality tools: SonarQube, Snyk, Fortify, Checkmarx, OWASP ZAP, Qualys, Tenable.
Understanding of development frameworks (C#, .NET, Java, JavaScript), REST APIs, and Postman.
Knowledge of databases (MySQL, MS SQL, MongoDB) and data/analytics technologies is a plus.
Education \& Certifications
Bachelor’s degree in Software Engineering, Computer Science, or equivalent experience.
Professional cloud certifications preferred (AWS/Azure/GCP).
AWS Certified DevOps Engineer – Professional or Azure DevOps Engineer certification preferred.
Docker/Kubernetes certifications are advantageous.